aws_access_key_id in aws lambda environment

Question

I'm using boto3 in order to create a presigned post url for s3.

s3 = boto3.client('s3')
post = s3.generate_presigned_post(
        Bucket=bucket_name,
        Key=f"{userid}.{suffix}"
    )

The aws_access_key_id that is being used is incorrect, one of the ways of using the right one is by adding an environment variable through environment variables.

Any idea how can I enforce using the aws access key as defined by the user I've created in IAM ?

Update 1

Policy attached to the IAM role that executes the lambda

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "logs:*"
            ],
            "Resource": "arn:aws:logs:*:*:*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "lambda:InvokeFunction"
            ],
            "Resource": [
                "*"
            ]
        },
        {
            "Effect": "Allow",
            "Action": [
                "xray:PutTraceSegments",
                "xray:PutTelemetryRecords"
            ],
            "Resource": [
                "*"
            ]
        },
        {
            "Effect": "Allow",
            "Action": [
                "ec2:AttachNetworkInterface",
                "ec2:CreateNetworkInterface",
                "ec2:DeleteNetworkInterface",
                "ec2:DescribeInstances",
                "ec2:DescribeNetworkInterfaces",
                "ec2:DetachNetworkInterface",
                "ec2:ModifyNetworkInterfaceAttribute",
                "ec2:ResetNetworkInterfaceAttribute"
            ],
            "Resource": "*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "s3:*"
            ],
            "Resource": "arn:aws:s3:::*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "kinesis:*"
            ],
            "Resource": "arn:aws:kinesis:*:*:*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "sns:*"
            ],
            "Resource": "arn:aws:sns:*:*:*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "sqs:*"
            ],
            "Resource": "arn:aws:sqs:*:*:*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "dynamodb:*"
            ],
            "Resource": "arn:aws:dynamodb:*:*:*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "route53:*"
            ],
            "Resource": "*"
        }
    ]
}

Update 2

Role in IAM Role configuration in Lambda configuration

Answer 1

You should not use an IAM User for any sort of execution permissions in lambda. Rather, use an IAM role with appropriate policies attached and attach that role to your Lambda function.

Also note that once the role is configured, the access id and secret will be automatically set as environment variables by lambda and Boto will retrieve them without any additional configuration.